JSAI2020

Presentation information

Interactive Session

[3Rin4] Interactive 1

Thu. Jun 11, 2020 1:40 PM - 3:20 PM Room R01 (jsai2020online-2-33)

[3Rin4-68] Supporting Collaborative Learning using the Multimodal Observed Information for Understanding Dementia

〇Kenichi Shibata1,2, Yosuke Hashikata2, Shogo Ishikawa2, Shinya Kiriyama1,2, Akira Tamai3 (1.The Society of Citizen Informatics for Human Cognitive Disorder, 2.Shizuoka University, 3.Tsuruga Onsen Hospital)

Keywords:Multimodal Observed Information, Collaborative Learning

This paper describes the supporting collaborative learning desired for community development supporting dementia care. The nursing staff and families can be assisted if they understand the situation of a person with dementia from multiple points of view with time series. We have developed a visualization tool based on the multimodal dementia diagnosis corpus for understanding the situation of dementia using multimodal observed information describing a person with dementia from various points of view. Better understanding the situation of dementia with multimodal observed information enables collaborative efforts of caretakers to improve the quality of care and life support for each person with dementia.

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